{"id":"W6958062577","doi":"10.6084/m9.figshare.26608248.v1","title":"Additional file 1 of Power and sample size calculation for incremental net benefit in cost effectiveness analyses with applications to trials conducted by the Canadian Cancer Trials Group","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; University of Toronto; Queen's University; Cancer Care Ontario; Sunnybrook Health Science Centre","funders":"","keywords":"Sample size determination; Cost effectiveness; Sample (material); Power (physics); Clinical trial; Statistical power","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01742238,0.00146027,0.002117397,0.003201398,0.0008507051,0.002294141,0.002146083,0.001904664,0.8726808],"category_scores_gemma":[0.2384105,0.001355851,0.002509768,0.004850125,0.0006053927,0.002089405,0.001152218,0.002161447,0.08743569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002314573,"about_ca_system_score_gemma":0.005063478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005319681,"about_ca_topic_score_gemma":0.009370477,"domain_scores_codex":[0.9921933,0.003834428,0.001513303,0.0008087142,0.001158037,0.0004922439],"domain_scores_gemma":[0.656511,0.3180161,0.008554428,0.005798163,0.009843011,0.001277321],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002630252,0.0002088935,0.00206346,0.01582741,0.0004832285,0.00008063875,0.000113838,0.002764503,0.00008415595,0.00445195,0.9413021,0.02998978],"study_design_scores_gemma":[0.08641737,0.002177455,0.02986961,0.02596169,0.002618086,0.001098344,0.0003970275,0.01872077,0.001637038,0.06722805,0.7634352,0.0004393269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004269289,0.0001287419,0.003336781,0.0004213609,0.000117044,0.003501136,0.9872273,0.0007652917,0.004075439],"genre_scores_gemma":[0.07400315,0.001277859,0.08277688,0.006392119,0.001100153,0.1706455,0.6011238,0.006658448,0.056022],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9825776,"threshold_uncertainty_score":0.1816053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6565058055922895,"score_gpt":0.5852538498568018,"score_spread":0.0712519557354877,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}